Siyun Yao
Teaching Assistant at Duke University Pratt School of Engineering- Claim this Profile
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English Native or bilingual proficiency
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Chinese Native or bilingual proficiency
Topline Score
Bio
Credentials
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Bloomberg Certificate
Bloomberg LP
Experience
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Duke University Pratt School of Engineering
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United States
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Higher Education
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300 - 400 Employee
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Teaching Assistant
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Aug 2023 - Present
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The Depository Trust & Clearing Corporation (DTCC)
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United States
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Financial Services
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700 & Above Employee
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Scrum Master
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May 2023 - Aug 2023
• Spearheaded an Agile development team of six; collaborated with cross-functional stakeholders to gather crucial datasets and product requirements • Created interactive Tableau dashboards that provided real-time insights into the utilization of AWS cloud resources across 50 accounts; assessed over and under-utilization of cloud resources; reported to senior managers in terms of cost • Customized each account’s cloud usage optimization plan; saved approximately $2000 quarterly in cloud… Show more • Spearheaded an Agile development team of six; collaborated with cross-functional stakeholders to gather crucial datasets and product requirements • Created interactive Tableau dashboards that provided real-time insights into the utilization of AWS cloud resources across 50 accounts; assessed over and under-utilization of cloud resources; reported to senior managers in terms of cost • Customized each account’s cloud usage optimization plan; saved approximately $2000 quarterly in cloud subscription fee • Applied Fourier Series and LSTM models to predict future cloud resource consumption; mitigated capacity-related risks with an average of 86% model accuracy Show less • Spearheaded an Agile development team of six; collaborated with cross-functional stakeholders to gather crucial datasets and product requirements • Created interactive Tableau dashboards that provided real-time insights into the utilization of AWS cloud resources across 50 accounts; assessed over and under-utilization of cloud resources; reported to senior managers in terms of cost • Customized each account’s cloud usage optimization plan; saved approximately $2000 quarterly in cloud… Show more • Spearheaded an Agile development team of six; collaborated with cross-functional stakeholders to gather crucial datasets and product requirements • Created interactive Tableau dashboards that provided real-time insights into the utilization of AWS cloud resources across 50 accounts; assessed over and under-utilization of cloud resources; reported to senior managers in terms of cost • Customized each account’s cloud usage optimization plan; saved approximately $2000 quarterly in cloud subscription fee • Applied Fourier Series and LSTM models to predict future cloud resource consumption; mitigated capacity-related risks with an average of 86% model accuracy Show less
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Neuberger Berman
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United States
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Financial Services
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700 & Above Employee
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Market Analyst Intern
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May 2021 - Aug 2021
• Retrieved 10,000+ mutual funds market data using SQL; analyzed funds’ investment style based on portfolio alpha, volatility, total return, and ESG score; distinguished NB portfolio’ 10-year average return using CSI 300 as the benchmark; promoted NB’s first mutual funds in China by getting a positive covariance between expected return and ESG score • Visualized NB fund’s historical performance with Python Plotly library; predicted fund’s future market return by adopting factor analysis with… Show more • Retrieved 10,000+ mutual funds market data using SQL; analyzed funds’ investment style based on portfolio alpha, volatility, total return, and ESG score; distinguished NB portfolio’ 10-year average return using CSI 300 as the benchmark; promoted NB’s first mutual funds in China by getting a positive covariance between expected return and ESG score • Visualized NB fund’s historical performance with Python Plotly library; predicted fund’s future market return by adopting factor analysis with 96% model accuracy; presented investors with the model outputs to help them understand more of funds’ investment style and potential in avoiding downside risks Show less • Retrieved 10,000+ mutual funds market data using SQL; analyzed funds’ investment style based on portfolio alpha, volatility, total return, and ESG score; distinguished NB portfolio’ 10-year average return using CSI 300 as the benchmark; promoted NB’s first mutual funds in China by getting a positive covariance between expected return and ESG score • Visualized NB fund’s historical performance with Python Plotly library; predicted fund’s future market return by adopting factor analysis with… Show more • Retrieved 10,000+ mutual funds market data using SQL; analyzed funds’ investment style based on portfolio alpha, volatility, total return, and ESG score; distinguished NB portfolio’ 10-year average return using CSI 300 as the benchmark; promoted NB’s first mutual funds in China by getting a positive covariance between expected return and ESG score • Visualized NB fund’s historical performance with Python Plotly library; predicted fund’s future market return by adopting factor analysis with 96% model accuracy; presented investors with the model outputs to help them understand more of funds’ investment style and potential in avoiding downside risks Show less
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Aon Hewitt Consulting (Shanghai) Co Ltd
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1 - 100 Employee
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Assistant Consultant Intern
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Jun 2020 - Sep 2020
• Evaluated a survey of 5000 employees by using Bag-of-words modeling regarding their needs for company benefit plans; obtained comprehensive employee profiles through model output; tailored flexible benefit plans for different job levels and job roles based on the most mentioned needs • Analyzed 16+ leading Pharma companies’ data by SQL to compare their benefits plans including retention, leave, and risk insurance; optimized future benefit practice and forecasted the cost for a company with… Show more • Evaluated a survey of 5000 employees by using Bag-of-words modeling regarding their needs for company benefit plans; obtained comprehensive employee profiles through model output; tailored flexible benefit plans for different job levels and job roles based on the most mentioned needs • Analyzed 16+ leading Pharma companies’ data by SQL to compare their benefits plans including retention, leave, and risk insurance; optimized future benefit practice and forecasted the cost for a company with 1,500+ employees based on the average industrial level; pitched the results for client’s employees during online flexible benefit lectures Show less • Evaluated a survey of 5000 employees by using Bag-of-words modeling regarding their needs for company benefit plans; obtained comprehensive employee profiles through model output; tailored flexible benefit plans for different job levels and job roles based on the most mentioned needs • Analyzed 16+ leading Pharma companies’ data by SQL to compare their benefits plans including retention, leave, and risk insurance; optimized future benefit practice and forecasted the cost for a company with… Show more • Evaluated a survey of 5000 employees by using Bag-of-words modeling regarding their needs for company benefit plans; obtained comprehensive employee profiles through model output; tailored flexible benefit plans for different job levels and job roles based on the most mentioned needs • Analyzed 16+ leading Pharma companies’ data by SQL to compare their benefits plans including retention, leave, and risk insurance; optimized future benefit practice and forecasted the cost for a company with 1,500+ employees based on the average industrial level; pitched the results for client’s employees during online flexible benefit lectures Show less
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American Express
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United States
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Financial Services
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700 & Above Employee
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Business Analyst Intern
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May 2019 - Aug 2019
• Conducted extensive market research and customer segmentation analysis; designed credit card benefits for each client segment encompassing essential needs; negotiated with 5 high-end vendors to enrich the product offering • Set attribution modeling to get a complete picture of the marketing return on investment; launched the marketing campaign under the guidance of the senior manager; offered unique benefits on the mobile platform with an average of 20% discounts; increased the issuing… Show more • Conducted extensive market research and customer segmentation analysis; designed credit card benefits for each client segment encompassing essential needs; negotiated with 5 high-end vendors to enrich the product offering • Set attribution modeling to get a complete picture of the marketing return on investment; launched the marketing campaign under the guidance of the senior manager; offered unique benefits on the mobile platform with an average of 20% discounts; increased the issuing volumes of a newly released credit card by 2% Show less • Conducted extensive market research and customer segmentation analysis; designed credit card benefits for each client segment encompassing essential needs; negotiated with 5 high-end vendors to enrich the product offering • Set attribution modeling to get a complete picture of the marketing return on investment; launched the marketing campaign under the guidance of the senior manager; offered unique benefits on the mobile platform with an average of 20% discounts; increased the issuing… Show more • Conducted extensive market research and customer segmentation analysis; designed credit card benefits for each client segment encompassing essential needs; negotiated with 5 high-end vendors to enrich the product offering • Set attribution modeling to get a complete picture of the marketing return on investment; launched the marketing campaign under the guidance of the senior manager; offered unique benefits on the mobile platform with an average of 20% discounts; increased the issuing volumes of a newly released credit card by 2% Show less
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Education
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Duke University Pratt School of Engineering
Master of Engineering - MEng -
Wake Forest University
Bachelor's degree, Business/Commerce, General -
Shanghai Kongjiang High School
High School Diploma